Generic Data Structures and Algorithms in Go: An Applied Approach Using Concurrency, Genericity and Heuristics

This book takes you on a journey to improve your programming and problem-solving skills by exploring generic data structures and algorithms and their applications using Go and effective concurrency. It presents classic data structures and techniques of algorithm design, heuristic algorithms, and simulated annealing and genetic algorithms, and demonstrates the huge increases in application performance that are possible. It assumes some familiarity with Go and should advance your ability to use Go to tackle server-side applications, games, machine learning, information retrieval, and other application domains where speed and storage efficiency is essential.

Format: Paperback / softback
Length: 579 pages
Publication date: 13 July 2022
Publisher: APress

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency. You are invited on a journey that aims to improve your programming and problem-solving skills. This book takes you to the next step by showing how to get your programs to work efficiently as well as correctly. As you explore many data structures and the algorithms and applications associated with them, you'll focus on the trade-offs between speed and storage and the benefits of deploying concurrency when appropriate. This book will demonstrate the huge increases in application performance that are possible. The presentation of classic data structures and techniques of algorithm design (greedy, divide and conquer, branch-and-bound to name a few) provides an essential foundation and toolkit for problem solving. But this book goes further by presenting heuristic algorithms and their implementations for solving computationally intractable combinatorial optimization problems such as the travelling salesperson problem. Simulated annealing and genetic algorithms are among the techniques used. The consistent style of coding used throughout this book exploits Go's ability to implement abstract, generic, and constrained generic data types without the use of classes. Although some familiarity with Go is assumed, this book should advance your ability to use Go to tackle server-side applications, games, machine learning, information retrieval, and other application domains where speed and storage efficiency is essential. What You'll Learn Explore classical data structures and algorithms aimed at making your applications run faster or require less storage Use the new generic features of Go to build reusable data structures Utilize concurrency to improve application performance and scalability Understand the trade-offs between speed and storage and when to use concurrency Implement classic data structures and algorithms using Go's built-in data types and functions Learn about Go's concurrency features and how to use them to improve application performance Understand the principles of algorithm design and apply them to solve problems Develop your skills in problem-solving and algorithm design by working on real-world projects and exercises Who This Book Is For This book is for software developers, engineers, and students who want to learn how to use Go to build efficient and scalable applications. It assumes a basic understanding of programming concepts and some familiarity with Go. What You'll Need You'll need a computer with a modern web browser and the Go programming language installed. You can download Go from the official Go website.

Weight: 1141g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484281901
Edition number: 1st ed.